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Multi-contrast magnetic resonance imaging (MRI)-based automatic auxiliary glioma diagnosis plays an important role in the clinic.
“Data-driven grading of brain gliomas: a multiparametric mr imaging study,”
Massimo Caulo, Valentina Panara, Domenico Tortora, Peter A Mattei, Chiara Briganti, Emanuele Pravatà, Simone Salice, Antonio R Cotroneo, and Armando Tartaro, · 2014
Earlier work this paper cites.
“The multimodal brain tumor image segmentation benchmark (brats),”
Bjoern H Menze, Andras Jakab, Stefan Bauer, Jayashree Kalpathy-Cramer, Keyvan Farahani, Justin Kirby, Yuliya Burren, Nicole Porz, Johannes Slotboom, Roland Wiest, et al., · 2014
Earlier work this paper cites.
“Revisiting the risks of mri with gadolinium based contrast agents—review of literature and guidelines,”
Aurang Z Khawaja, Deirdre B Cassidy, Julien Al Shakarchi, Damian G McGrogan, Nicholas G Inston, and Robert G Jones, · 2015
Earlier work this paper cites.
“The 2016 world health organization classification of tumors of the central nervous system: a summary,”
David N Louis, Arie Perry, Guido Reifenberger, Andreas Von Deimling, Dominique Figarella-Branger, Webster K Cavenee, Hiroko Ohgaki, Otmar D Wiestler, Paul Kleihues, and David W Ellison, · 2016
Earlier work this paper cites.
“Accelerating magnetic resonance imaging via deep learning,”
Shanshan Wang, Zhenghang Su, Leslie Ying, Xi Peng, Shun Zhu, Feng Liang, Dagan Feng, and Dong Liang, · 2016
Earlier work this paper cites.
“Brain tumor classification using deep cnn features via transfer learning,”
S Deepak and PM Ameer, · 2019
Cited alongside, same era.
“Cbtrus statistical report: primary brain and other central nervous system tumors diagnosed in the united states in 2013–2017,”
Quinn T Ostrom, Nirav Patil, Gino Cioffi, Kristin Waite, Carol Kruchko, and Jill S Barnholtz-Sloan, · 2020
Cited alongside, same era.
“Adult diffuse low-grade gliomas: 35-year experience at the nancy france neurooncology unit,”
Tiphaine Obara, Marie Blonski, Cyril Brzenczek, Sophie Mézières, Yann Gaudeau, Celso Pouget, Guillaume Gauchotte, Antoine Verger, Guillaume Vogin, Jean-Marie Moureaux, et al., · 2020
Cited alongside, same era.
“Transfer learning using convolutional neural network architectures for brain tumor classification from mri images,”
Rayene Chelghoum, Ameur Ikhlef, Amina Hameurlaine, and Sabir Jacquir, · 2020
Cited alongside, same era.
“Annotation-efficient deep learning for automatic medical image segmentation,”
Shanshan Wang, Cheng Li, Rongpin Wang, Zaiyi Liu, Meiyun Wang, Hongna Tan, Yaping Wu, Xinfeng Liu, Hui Sun, Rui Yang, et al., · 2021
Later among the works it cites.
“Deep cnn for brain tumor classification,”
Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, and Mohamed Atri, · 2021
Later among the works it cites.
“Brain image synthesis with unsupervised multivariate canonical cscl4net,”
Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R Scott, and Ling Shao, · 2021
Later among the works it cites.
“Latent correlation representation learning for brain tumor segmentation with missing mri modalities,”
Tongxue Zhou, Stéphane Canu, Pierre Vera, and Su Ruan, · 2021
Later among the works it cites.
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